Techniques for Recommending Configuration Changes Using a Decision Tree

3. The method of claim 1, wherein the first processing is performed responsive to an occurrence of a trigger condition.

5. The method of claim 2, wherein said ranking the plurality of hardware configuration changes is performed in accordance with one or more criteria.

11. The method of claim 10, wherein said clustering clusters the plurality of I/O workload data points along a plane of average I/O size and percentage of write I/O operations.

12. The method of claim 11, further comprising binning the plurality of I/O workload data points.

13. The method of claim 12, wherein a first axis of the plane corresponding to the average I/O size is partitioned into a first plurality of bins and a second axis of the plane corresponding to the percentage of write I/O operations is partitioned into second plurality of bins.

14. The method of claim 13, wherein each of the plurality of I/O workload data points is located in one of the first plurality of bins and in one of the second plurality of bins.

15. The method of claim 14, wherein said clustering includes determining a plurality of counts wherein each of the plurality of counts is associated with a first particular one of the first plurality of bins and a second particular one of the second plurality of bins, and wherein said each count denotes a total quantity of the plurality of I/O workload data points located in the first particular one of the first plurality of bins and also located in the second particular one of the second plurality of bins.